IT Promotion Agency Japan National Data Strategy 2023-10-04 Digital Infrastructure Center 

 We will set the new direction of our team by October. 2 New Team Digital Agency IT Promotion Agency Government Printing Office Data Management Data Space Digital Infrastructure Data Strategy Ministries Agencies DSA Other organizations METI Ministry of Economy, Trade and Industry 

 We launched a digital infrastructure center on July 1,2023. • The center is in charge of core technology function of the data strategy. 3 IPA Digital Infrastructure center Data Space Digital Infrastructure Data Owners Open Data Standards(GIF) ・Data models ・Quality ・Rules ・Guidelines GIF Academy GIF: Government Interoperability Framework 

Japan • 2023-06 Cabinet decision Digital Strategy 4 

Japan Vision & Strategy for Digital society 5 Other Acts Privacy act and Info. disclosure act Society 5.0 (2016) Economic Growth Strategy (2023-6) Innovation Strategy (2023-6) Digital Strategy (2023-6) Data Strategy (2021-6) Digital Government Action Plan (2020-12) • Digital first • Once only • One stop Vision National Strategies Digital Strategies Digital society Act (2021) Digital-First Act (2019) Society 5.0 Reference Architecture Data Exchange Platform Government Interoperability Framework (GIF) Data Strategy / Policy Rule Organization Business Data harness functions Data Data broker function Asset Sensor, Actuator, Hardware, Network Gathering, Integration, Cleansing, Device management Data definition, Data model, Code Catalogue, Search, AI, Analysis Business process Business Rule Coordination Team Legislation Regulation Vision Priority domain Security / Authentication Lifecycle AI Principal (2019-3) AI Strategy (2022-6) AI Strategy 

Japan Digital Strategy 6 Vision for the Digital Society Citizens can choose services that satisfy his/her demands and achieve well-being through digital technology Principles 1. Open / Transparent 2. Fairness / Ethics 3. Safety / Secure 4. Continuation/Stable/Resilient 5. Solving social issues 6. Quick / Flexible 7. Inclusion / Diversity 8. Immersion 9. Creating new value 10.Leap/International contribution Digital Garden City Economic ecosystem Local economy and community No one will be left behind Data spaces Skills for digital society International cooperation Emerging Technologies National data strategy Deregulation for digital society Priority area Initiatives 

 We aim to realize a digital society by integrating digital and data strategies. 7 New Strategy and Team Digital Strategy Data Strategy Digital Strategy Data Strategy June, 2023 01010100110100101000101 00010100101010010010100 10100101010101001010100 

Japan • 2021-06 Cabinet decision National Data Strategy 8 

Japan  Data is competitive resource in the digital society.  Government is the largest data holder and consumer in the country. So we should lead the data-eco-cycle. 9 The role of government in digital society Public sectors Provide data Gather data Society Standard Cleansing 

Japan  We published the national data strategy on June 18, 2021.We will realize a citizen-centric society by 2030.  Vision • We aim to realize a sustainable human society. It is the human-centric society that creates new value by achieving both economic development and solving social issues. It is achieved through a digital twin by using data. • It is consistent with the vision of Society 5.0 that is the future vision of Japan. • Our society values trust and safety. It is essential to realize high efficiency and hospitality services at the same time. 10 The National data strategy 

Japan  Anyone get data easily, start business quickly and use high-quality services. 11 Vision for 2030 citizen-centric society High value data sets Statistics Realtime sensor data Base registries • Person • Legal entities • Land • Administration data • Traffic • Weather Digital Twin Service providers keep their services, sustainably. Trust & Safety Once only services Citizen can use various services Open data Data from private sectors Platform Anyone get data easily Reduce the duplicate cost Reduce city maintenance cost 

Japan Land, Topography, Nature, Weather data Transportation, traffic, operation data Building, Infrastructure data Area service data Cross-domain data （Smart city, Disaster Risk Management） （Administration services, City services, Event,,,） GIF （Government Interoperability Framework） Fusing data to create new value 

Japan Principles 13 Use anytime, anywhere •Availability •Quickness •Cross-boarder •Availability •Quickness •Cross-boarder Connect •Interoperability •Efficiency •Interoperability •Efficiency Control your data yourself •controllability •Privacy •controllability •Privacy Safe •Security •Trust •Quality •Security •Trust •Quality Create together •Co-creation •Creation of new value •Co-creation •Creation of new value Evidence Based administration •Identify the priority data •EBPM •Business transformation •Data management and open data •Cultural change •Identify the priority data •EBPM •Business transformation •Data management and open data •Cultural change Data ecosystem •Data engineering for data ecosystems •Data standards •Data quality management •List of data asset in the administrations •Data engineering for data ecosystems •Data standards •Data quality management •List of data asset in the administrations Maximize the value of data •Rule management for data access •Chanel management for the various data accesses •Open data •Rule management for data access •Chanel management for the various data accesses •Open data Principle of Data strategy Principle of actions in all ministries 

Japan Architecture of our strategy 14 Trust （DFFT） Data Data Service Platform Service Platform Rule Rule Security / Privacy Security / Privacy Services for citizens and businesses Services for citizens and businesses Organization and human resource Organization and human resource Infrastructure, Asset Infrastructure, Asset Tools Tools Maximizing the Value of services Base registries Base registries Government data Government data Statistics Statistics Open data Open data 

Japan  To make it a sustainable initiative, it is important to build on the foundation. 15 The steps for realizing the data-driven society Findable •Data catalogue •Service catalogue •Platform Usable • Structured data model • Quality management Processable •Machine readable Automatable • Auto-check • RPA（Robotic Process Automation） Analyzable • AI •Big data analysis We are here. Base registries & High value datasets Open data 

Japan 16 Schedule 2022.32023.3 2025 2030 Phase of implementation and verification by organization or service unit Phase to fix the foundation, as framework. Phase of connecting data across business fields and areas Phase to fully utilize AI and Digital twin Society5.0 Activities A sustainable society through Trust and Quality  GIF has just completed the basic part and will be enhanced.  We should consider about AI impact. Enterprise and area services Cross-Industry services Government Interoperability framework（GIF) AI-driven services Digital twins Mechanisms will be developed and verified. Data will be enhanced. Generative AI 

Japan The detail actions of the data strategy 17 

Japan Priority Actions and showcase 18 •Stakeholders •Transactions •Original copy •Stakeholders •Transactions •Original copy Trust •DATA-EX •Catalogue •DATA-EX •Catalogue Platform •Base registries •Open data •Data engineering •Base registries •Open data •Data engineering Data •Smart cities •Disaster risk Management •Smart cities •Disaster risk Management Showcase Citizens use and store data with confidence Citizens use and store data with confidence Citizens efficiently use data Citizens efficiently use data Citizens can use various data Citizens can use various data Citizens understand the value of data Citizens understand the value of data 

Japan  DFFT(Data Flee Flow with Trust) is a basic concept for the data-driven society. 19 Rule Rules for trust • Privacy, security and Intellectual property issue. (Need to coordinate rules among service areas) Technologies for Trust • Originality and non-tampering. (Need to use security technologies) Platform for trust • Transparency of platformer.(Needs to know the policy, management and technologies) Data for trust • Accuracy, currency, and comprehensiveness of data.(Need to manage the quality of data) Trust of Stakeholders • Transparency and confidence of stakeholder. (Need to check the sustainability of the stakeholders) Trust of Information • Transparency of society. Dis-、Mis-Information. (Need to check information) Trust 

Japan  Each function is modularized as a Building Blocks and are connected by API. 20 Data Exchange Platform(DATA-EX) Services Function for data management Function for connection Search Distributio n Privacy Communit y Catalogue Taxonomy Simulation Quality Assurance Convert Merge Integrate Anonymize Cross-domain data exchange platform Data exchange platforms for each industries Rule Services for each industries • Taxonomies • Codes • Functions EU US ・・・ Services Function for data management Function for connection Search Distribution Privacy Community Catalogue Taxonomy Simulation Quality Assurance Convert Merge Integrate Anonymize Platform 

Japan  Data conversion tools support for legacy systems and data. 21 Data rerated tools Legacy systems and data １man ２woman ３unknown GIF converter ０unknown １man ２women ９not applicable ０unknown １man ２women ９not applicable Tokyo Chiyoda Kasumigaseki X-X IMI building 203 Connected service Kasumigaseki X-X IMI Building 203 Tokyo Chiyoda Kasumigaseki X-X IMI building 203 Legacy systems and data GIF converter Connected service Address Platform 

Japan Data 22 Quantity of Data Diversity of Data Quality of Data Findability Usability Open data initiative Base registries Data catalogue / Data dictionary Government Interoperability Framework (Data quality, Data management) Government Interoperability Framework (Data model, Platform) Requirement Solution 

Japan Administrations  Base registries are authorized databases of basic social data on people, corporations, land, buildings, qualifications, etc., which is registered and disclosed by public organizations and referred to in various situations. In Japan, ledgers are often the equivalent.  It is the foundation for all social activities and an essential environment in a digital society. Base registries Land Building Infrastru cture Legal entity Base registries Person Transpor tation Public facility Event Support program Certificat ion Society 

Japan 24 Open data initiative Open data Training course Good practices Advisors Data models for open data Data catalogue / Data dictionary Term and condition for open data GIF DCAT-GOJ Platform Base registries Tools Citizen or Servicer Rule for data sharing Standard Data Environment Rule Support 

Japan Data Code Character Data （Japanese/English） Core data parts Core vocabulary Numeric data （Sensing data） Core data models Service data model［DM］ Base registry DM Date & Time Address Postal code Geo coding Phone POI code Point of contact Nursing info. Accessibilit y Person Legal entity Facility Equipment Metadata Admen. G. Land G. Legal entity G. Smart city DM (Local service) Moving object Feature Map Disaster rm, DM Support activity Status report Shelter and evacuation site Education DM Contents Student ＆ Stakeholders School Government DM Use case Evidence and Information Application Service catalogue Report and material Event Service and program Service delivery point Activity Address BR Support program BR Business location BR Legal entity BR List of school List of evacuation site List of shelter List of hospital Event BR Public Facility BR List of code Activity Afflicted people ・・・ Others  GIF Data Models and guidebooks support to make structured and high-quality data. We had already published the reference models. 25 Acquisition Guidebooks GIF Guidebook Character data guidebook Master data design guidebook Code design guidebook API guidebook Data management guidebook Data specialist guidebook Architecture guidebook Data quality guidebook Metadata guidebook Land Building Event Combine blocks to build a data model Image data Geospatial data 

Japan  IMI2 is not standards but reference models. Anyone can enhance or make subset them for their implementation. 26 How to use the data models Before IMI GIF Service data model Title Implementation Subset Enhance Title Title Title Title 

Japan  Data connect to the world, so global interoperability is essential. 27 Concept of Data maturity and quality Data Process Governance •Is the data of sufficient quality? •ISO25012 •Are there any issues with the process? •ISO25024 •Is the data being managed strategically? •ISO8000-61 Usage USER SIDE SUPPLY SIDE Are users making use of the data? 

 We are using archimate as an architecture modelling language.  We can discuss the detail of KPIs, services, functions and data on the model.  We also use UML class diagram for data models and BPMN for process model. 28 Modelling KPIs Platform(function ) Data Services Cross-industry services Rules Goals Assets Data models Tools 

Japan  Geospatial data is essential information for society. • Address base registry • We have created a database storing town block names from all over Japan. • Land Information database • We are trying to launch a database of land rights information based on real estate IDs. • Maps • GSI(Geospatial Information Authority of Japan) provide national maps 29 Geospatial data 

 The 3D model already has 140 cities and aims to have 200 cities by the end of 2023. Digital engineering and Digital Twin 30 Plateu 3D models (CityGML) https://www.mlit.go.jp/plateau/ https://www.youtube.com/watch?v=dbRRwQje9Fo Virtual Shizuoka 3D points models Tokyo digital twin project 3D models (CityGML) Laser scanner Underground map https://info.tokyo- digitaltwin.metro.tokyo.lg.jp /zissyou02/ 

Japan The data strategy in smart cities 31 Smart City Digital Garden City Digital Village Public service density/ Public transportation Nature & Environment Aging Congestion Disaster Risk Management Carbon Neutral Zero carbon city / Carbon neutral leading area 

Japan Varying leadership understanding of the importance of data. Lack of leadership across government agencies. Lack of human resources related to the data field. Need to ensure data quality. 32 Challenges 

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